标了一般没啥用,起码我这个行业没啥用,标注重要的是什么,是测量,也就是说标注的尺寸是可测量的,像我们 ...
以前我也不标,但是出了问题机加的不愿意修,因为图纸没标,钳工也不愿意修,因为他们认为这是加工没加工好,所以设计者只能低声下气求人,所以我学乖了,现在我开始标了,车间看不看是他们的是,如果差一点能装,啥事没有,如果差太多,我直接甩回给机加
所示平面与基准面B平行度在0.2以内, 所示线需要与基准面A平行度在0.2以内。推荐看下“简明机械手册” 一本不错的德国简略的机械工具书 shentu 发表于 2023-6-19 11:50
越来越多的非机跑起来搞机,可见这行业入门之低,活该低工资。
大锤80,小锤40,多好赚啊。
非常感谢大家的解答,刚网上查了一下才知道,原来平行度 B 的基准面是对面一根轴的断面,我又有点懵了,这个平行度应该怎么测量呢?使用什么测量工具呢?我这也是被领导赶鸭子上架啊,以后还得多多跟大家学习。
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
没事 慢慢来 也许很多画图的都不知道自己标的是什么意思 对不对 公差合不合理 很多其实都需要慢慢积累经验 这个平行度 B 应该怎么测量呢?使用什么测量工具呢?上面的贴子我发现图片没有贴上,重新发一遍,请各位指教。
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